This scraper pulls product data directly from Lazada search and category pages, giving you structured access to pricing, availability, images, and seller insights. It helps you monitor markets, study trends, and automate competitive analysis without manual browsing. With fast extraction and clean output, it’s built for anyone who relies on accurate Lazada product data.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This tool collects product listings from Lazada and transforms them into structured datasets. It solves the headache of manually checking prices, comparing sellers, or reviewing dozens of product pages by automating the entire process. It’s designed for analysts, developers, e-commerce operators, and teams who want reliable, repeatable data extraction.
- Tracks real-time product and price changes.
- Provides clean JSON-ready product information for analysis.
- Helps compare competitors at scale.
- Captures images, descriptions, and metadata for deep research.
- Supports multi-country domains for broader market exploration.
| Feature | Description |
|---|---|
| Multi-page scraping | Crawl multiple result pages automatically using a page limit. |
| Keyword & category support | Scrape using any Lazada search or category URL. |
| Structured output | Returns standardized fields for price, stock, seller, and more. |
| Multi-region support | Works across several Lazada regional domains. |
| Proxy-friendly architecture | Ensures stable collection even with geo-sensitive pages. |
| Export flexibility | Use JSON, CSV, XML, HTML, or Excel after extraction. |
| Field Name | Field Description |
|---|---|
| url | Direct link to the product page. |
| name | Full product title. |
| image | Primary image of the product listing. |
| priceShow | Displayed price with formatting. |
| discount | Discount percentage if available. |
| location | Item shipping or seller location. |
| description | List of product description lines. |
| sellerName | Name of the seller. |
| brandName | Product brand. |
| price | Parsed numeric price value. |
| inStock | Availability flag. |
| originalPrice | Pre-discount price. |
| listUrl | URL of the search or category page where the item appeared. |
[
{
"url": "https://www.lazada.com.ph/products/buy-1-get-1good-quality-keypad-mobile-phone-classic-cellphone2610-i1052132393.html",
"name": "【Buy 1 get 1】Good Quality Keypad Mobile Phone Classic Cellphone(2610)",
"image": "https://ph-live-01.slatic.net/p/37a1c9772f1ee7eed5d5b46297968001.jpg",
"priceShow": "₱527.36",
"discount": "67%off",
"location": "Metro Manila",
"description": [
"2G connectivity for calling and textingFM radio and MP3 player for music16 MB storage4 plus a MicroSD card slot with support up to 32 GBBeautiful push buttons and iconic, shaped design2 MP camera with LED flash for simple snapsAll-new UI with nods to the originalAwesome battery life, with up to 22 hours talk timeHeadphone jack for your tunes1.77” curved window with polarized layer for better readability in sunlight"
],
"sellerName": "Japan Shop 1583415983",
"brandName": "No Brand",
"price": "527.36",
"inStock": true,
"originalPrice": "1599",
"listUrl": "https://www.lazada.com.ph/catalog/?q=phone"
}
]
Lazada Scraper/
├── src/
│ ├── runner.js
│ ├── extractors/
│ │ ├── lazada_parser.js
│ │ └── utils_format.js
│ ├── outputs/
│ │ └── exporters.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.txt
│ └── sample.json
├── package.json
└── README.md
- Analysts use it to compare product pricing across regions so they can understand market competitiveness.
- E-commerce sellers use it to track competitor listings so they can adjust pricing or promotions confidently.
- Researchers use it to gather product metadata at scale so they can analyze trends or build datasets.
- Developers use it to automate catalog updates so they can keep their internal systems synced with real listings.
Does it work with any Lazada URL? Yes—any valid search or category URL can be used. The scraper follows listing pages and extracts structured product data.
How many pages can it scrape? You control the limit with a configuration value. Larger limits allow deeper data coverage across bigger categories.
Which countries are supported? It supports Lazada domains for PH, MY, SG, TH, VN, and IN.
Can I run long scraping sessions? Absolutely. It’s optimized for continuous extraction, and longer sessions generally yield more complete datasets.
Primary Metric: Handles roughly thousands of items per minute depending on page complexity and region.
Reliability Metric: Maintains a high success rate across supported domains with resilient handling of listing variations.
Efficiency Metric: Processes multiple pages in a single run with streamlined request usage, minimizing overhead.
Quality Metric: Captures clean, structured product fields with strong consistency, even across regional formatting differences.
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